Triple

T9752105
Position Surface form Disambiguated ID Type / Status
Subject Erik von Detten E236464 entity
Predicate appearedIn P795 FINISHED
Object Christmas Every Day E818884 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Christmas Every Day | Statement: [Erik von Detten, appearedIn, Christmas Every Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christmas Every Day
Context triple: [Erik von Detten, appearedIn, Christmas Every Day]
  • A. Christmas Every Day chosen
    "Christmas Every Day" is a 1996 family fantasy television film about a boy who is forced to relive Christmas Day over and over until he learns its true meaning.
  • B. Everyday Is Christmas
    Everyday Is Christmas is a holiday-themed pop album by Australian singer-songwriter Sia, featuring original Christmas songs released in 2017.
  • C. This Christmas
    "This Christmas" is a 2007 ensemble holiday comedy-drama film centered on a family's eventful Christmas reunion, featuring an all-star cast including Idris Elba, Regina King, and Chris Brown.
  • D. This Christmas
    "This Christmas" is a classic 1970 soul and R&B holiday song by Donny Hathaway that has become a perennial seasonal favorite and standard.
  • E. One Christmas
    One Christmas is a 1994 television film adaptation of a Truman Capote short story, starring Henry Winkler and Katharine Hepburn in a Depression-era coming-of-age tale.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcd60e1c81908ea2e38ca91e58f6 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:24 p.m.